Senior Data Science Consultant

About NeoStats

NeoStats is a Data & Analytics firm established in 2022, providing end-to-end data and analytics services. The company is headquartered in the UAE, with additional bases in India and the UK. NeoStats focuses on transforming clients into data-driven organizations by offering contemporary solutions and leveraging expertise in structural transformations in analytics.

The Role: Senior Data Science Consultant – Cards Marketing Analytics

NeoStats is seeking a Senior Data Science Consultant specializing in Cards Marketing Analytics to join its team in Jeddah, Makkah. This is a contract position for professionals with 5-10 years of experience. The role involves applying advanced analytics and predictive modeling to develop marketing strategies for credit and debit card portfolios. The consultant will be responsible for providing actionable insights to client teams.

Key Responsibilities

• Develop predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn.
• Create customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization efforts.
• Analyze campaign performance across various segments, products, channels, and customer behaviors, delivering actionable insights.
• Design test-and-learn frameworks, including the establishment of control groups, campaign measurement logic, and post-campaign performance reviews.
• Collaborate with client teams to ensure that analytical outputs are practical, explainable, and ready for business adoption.

Candidate Profile

The ideal candidate will possess extensive experience in banking analytics, with a particular focus on cards marketing. This role requires a professional capable of leveraging data science techniques to drive strategic marketing initiatives and deliver tangible results for clients.

What NeoStats Offers

• Competitive salary and benefits.
• Opportunity to contribute to a growing startup environment.
• Ownership of initiatives and specific responsibilities.
• Continuous coaching and mentoring, with opportunities to collaborate with senior data scientists and AI experts globally.
• A dynamic and respectful work environment.